Matrices and Vector Spaces

This course prepares students to analyse systems of linear equations, matrices and determinants with a computational approach, and explain the concepts of vector spaces, linear transformations, and eigenvalues and eigenvectors. Study materials: Mathematical and Statistical Foundations (MSF).

Topics

1. Systems of linear equations, matrices and determinants with a computational approach
2. Vector spaces, linear transformations, and eigenvalues and eigenvectors

Each course outcome derives from one programme outcome.

1. CPMK0601

   Students are able to perform computational analysis using a computational thinking approach

   CPL06
2. CPMK0602

   Students are able to explain computing concepts using a computational thinking approach

   CPL06

CPL06

Analyse and implement fundamental concepts of mathematics, statistics, algorithms and computer systems as the foundation of computing.

• IF2114 Matriks dan Ruang Vektor · 3 credits · Kode, semester 3→2